Data Loop Pipeline Engineer

Merlin Labs

. Build and operate ingestion pipelines for flight test, simulation, and operational data .

Posted 9/17/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $125,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating data ingestion pipelines, with a strong focus on data quality validation, dataset versioning, and anomaly detection. Proficient in handling high-volume time-series and multimodal sensor data to support machine learning training cycles.

Highest-signal resume keywords

Data EngineeringPythonSQLDataset VersioningData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPythonSQLData ModelingDataset VersioningQuality ValidationAnomaly DetectionTime-Series DataMultimodal Sensor DataData Processing Frameworks

Industry Keywords

Flight TestOperational DataTelemetryVideoAudioStructured LogsData Access ConstraintsLoggingInstrumentationBackground Check

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build and operate ingestion pipelines for flight test, simulation, and operational data
Normalize formats, align time across sources, and perform quality validation
Implement dataset curation and versioning with full lineage
Build automated mining and triage for anomalies, system disagreements, and near-boundary events
Own labeling workflows and tooling, including quality control and inter-annotator agreement
Instrument deployed-system behavior so operational signals reach the next training cycle
Work with Flight Test & Operations on logging and instrumentation requirements
Help resolve data access constraints involving third-party systems
Monitor pipeline health and dataset coverage
Alert on drift, gaps, and silent breakage

Requirements

What you’ll need

Degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Applied Math, or a related subject
3+ years in data engineering with production ownership of pipelines feeding ML training
Strong Python and SQL
Solid grasp of data modeling, storage formats, and processing frameworks
Experience with dataset versioning and lineage tooling
Comfort with high-volume time-series and multimodal sensor data, including telemetry, video, audio, and structured logs
Authorized to work in the United States without visa sponsorship now or in the future
Must pass background and reference checks

Benefits

Comp & perks

Catered lunches with rotating menu
Snacks
Coffee, tea, and other beverages
Health insurance
Dental insurance
Life insurance
Unlimited vacation
401(k) with match
Work/life integration
Professional development support
Equity grants
Top-tier benefits for full-time employees